data engineer ii

Los Angeles Capital Management

<div><p><b>Data Engineer II</b></p><p></p><p><b><br>
About the Firm</b></p><p><b><i>
Firm Mission</i></b></p><p><b><i>
&ldquo;Achieving Client Success through Research and Technology&rdquo;</i></b></p><p>
Los Angeles Capital, the &ldquo;Firm&rdquo;, is a global equity manager of assets for leading institutions around the world. The Firm is recognized as a pioneer in dynamic equity management, utilizing proprietary technology to engineer equity portfolios that adapt to today&rsquo;s equity market. The Firm&rsquo;s senior investment professionals have worked together for three decades developing models for measuring and forecasting return and risk of global equity securities. The Firm manages approximately $40.1 billion as of December 31, 2025, across a wide variety of public equity strategies designed to meet institutional client return and risk objectives. The Firm has been ranked for seven years in a row by Pensions and Investments as one of the &ldquo;Best Places to Work in Money Management.&rdquo; The Firm&rsquo;s working environment places a strong focus on teamwork and values work-life balance. The Firm offers a competitive compensation package that includes health care plans, 401(k), and top-tier benefits. The Firm is 100% employee-owned through a holding company structure and seeks to retain and motivate employees&rsquo; long term. Los Angeles Capital firmly believes the quality and commitment of the individuals are vital to the success of the Firm, ensuring that client expectations are exceeded.</p><p><b>
Position Overview</b></p><p>
Reporting to the Managing Director, Investment Management Systems, the Data Engineer II will help design, build and deploy the data systems and work with Data APIs, Data Pipeline, Data Lake, ML Ops, etc. The Data Engineer II will help define and build the data tech stack including Snowflake, Databricks, SQL, Python, Prefect, Airflow, dbt, Tableau, MLFlow, and be a key player in enabling the business teams to leverage data to meet business goals.</p><p><b>
Key Job Responsibilities</b></p><div><ul><li>
Design, build, and maintain scalable data pipelines and ELT/ETL workflows using Snowflake and Databricks to ingest, transform, and serve data from diverse sources across the firm.</li><li>
Architect and implement the firm's modern data platform, including data lake and data warehouse layers, with a focus on reliability, performance, and cost efficiency.</li><li>
Evaluate, select, and implement data orchestration tools (e.g., Apache Airflow, Dagster, Prefect, or similar) to manage workflow scheduling, dependency management, and monitoring.</li><li>
Build and maintain a comprehensive data catalog that documents datasets, lineage, ownership, and usage across the organization, enabling self-service data discovery.</li><li>
Develop and enforce a data governance framework including data quality standards, access controls, classification policies, and compliance procedures.</li><li>
Implement data quality monitoring, validation, and alerting to ensure the integrity and trustworthiness of data assets.</li><li>
Collaborate with quantitative researchers and portfolio managers to understand data requirements and deliver reliable data products that support investment decision-making.</li><li>
Create and maintain technical documentation, data dictionaries, runbooks, and architectural diagrams.</li><li>
Contribute to the evaluation of third-party data vendors and integration of external data sources, including market data, reference data, and alternative data.</li><li>
Optimize and maintain the Analytics tools environment</li><li>
Work in agile teams include sprint planning, backlog grooming and program increments.</li><li>
Mentor and coach data engineers on the team</li></ul></div><p><b>
Skills and Knowledge Required</b></p><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related field</li><li>
4-6+ years of relevant hands-on experience in data and analytics domain / teams.</li><li>
Expert level proficiency in SQL</li><li>
Strong experience with Azure, including core services such as compute, storage, networking, and authentication.</li><li>
Proficiency with infrastructure-as-code tools, particularly Terraform.</li><li>
Hands-on experience building and managing CI/CD pipelines using tools such as GitHub Actions or Azure DevOps.</li><li>
Solid scripting and automation skills in Python, Bash, or similar languages.</li><li>
Experience with containerization (Docker) and familiarity with orchestration platforms such as Kubernetes or ECS.</li><li>
Strong understanding of networking, security, and identity management in cloud environments.</li><li>
Experience with version control workflows in Git, including branching strategies and code review processes.</li><li>
Demonstrated ability to adapt to new data technologies and learn quickly</li><li>
Ability to communicate across all levels of the organization and work with diverse project teams</li></ul></div><p><b>
Skills and Knowledge Desired</b></p><ul><li>
Experience in the financial services or investment management industry.</li><li>
Familiarity with market data feeds, reference data systems, and financial data vendors (e.g., Bloomberg, FactSet, MSCI).</li><li>
Knowledge of data privacy regulations and compliance requirements relevant to financial services.</li><li>
Experience with cloud infrastructure Azure, including networking, security, and user authentication.</li><li>
Exposure to dbt for analytics engineering and transformation layer management.</li></ul><p></p><div><ul><li><b><br>
This is a hybrid position based in Los Angeles, CA which requires weekly attendance.</b></li><li><b>
No recruiters, please.</b></li></ul></div><p></p><p><br>
Los Angeles Capital is an SEC registered investment adviser and required to track certain political contributions under rule 206(4)-5. Therefore, you will be required to disclose your prior political contributions.</p><p><b><i>
Los Angeles Capital is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual&rsquo;s race, color, religion, age, gender, gender identity, sexual orientation, national origin, ancestry, marital status, medical condition, genetic information, veteran status or disability.</i></b></p><p><i>
For more information about the company, please refer to our website at </i><i>www.lacapm.com</i><i>.</i></p><p><b>
Personnel/Applicant Privacy Notice</b></p><p>
Los Angeles Capital is committed to safeguarding the privacy of our personnel and job applicants. Los Angeles Capital does not &quot;sell&quot; (as that term is defined in the CCPA) your personal information. Please see our Privacy Policy for details.</p></div><p></p>

Data Engineer II

Inland Empire Health Plan

<div>Overview:
<div><b>
What you can expect!</b></div><div><br>
</div><div>Find joy in serving others with IEHP! We welcome you to join us in &ldquo;healing and inspiring the human spirit&rdquo; and to pivot from a &ldquo;job&rdquo; opportunity to an <b>authentic experience!</b></div><div></div><div><br>
The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.</div><div></div><div><br>
Commitment to Quality: The IEHP Team is committed to incorporate IEHP&rsquo;s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.</div>
Additional Benefits:
<div><b>
Perks</b></div><div></div><div><br>
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.</div><ul><li>
Competitive salary.</li><li>
Hybrid schedule.
</li><li>State of the art fitness center on-site.</li><li>
Medical Insurance with Dental and Vision.</li><li>
Life, short-term, and long-term disability options</li><li>
Career advancement opportunities and professional development.</li><li>
Wellness programs that promote a healthy work-life balance.<b>
</b></li><li>Flexible Spending Account &ndash; Health Care/Childcare</li><li>
CalPERS retirement</li><li>
457(b) option with a contribution match</li><li>
Paid life insurance for employees</li><li>
Pet care insurance</li></ul>
Key Responsibilities:
<ul><li>Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks, PySpark ETL.
</li><li>Develop and implement data collection processes in conjunction with the data warehouse. Source data from legacy systems supporting a centralized data warehouse and reporting platform.</li><li>
Develop technical solutions to meet the requirements for Data Warehouse, BI &amp; Analytics. Work with Informaticists and Analysts to translate analytic requirements into technical solutions.</li><li>
Collaborate and contribute to data integration strategies and visions. Create and maintain optimal data pipeline architectures based on micro services based on platform and application requirements.</li><li>
Work closely with the Data Engineering team, BI &amp; Analytics team, Data Warehouse Architect, and Data Systems Architect to design data and analytics solutions to increase the usability, completeness, and accuracy of enterprise data.</li><li>
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li><li>
Analyze user requirements and translate user requirements into database requirements and implement them in database code.</li><li>
Provide detailed analysis of data issues, data mapping, and the process for automation and enhancement of data quality. Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>
Identify, design, and implement process improvements: automating manual pipeline processes, optimizing data ingestion and consumption, re-designing infrastructure for greater scalability, micro services, and others as applicable.</li><li>
Create, maintain, and optimize SQL queries and routines. Analyze potential data quality issues to determine the root cause and create effective solutions.</li><li>
Develop, adopt, and enforce Data Warehouse and ETL standards and architecture. Monitor and support ETL processes ensuring integrity and proper integration of all data sources.</li><li>
Facilitate problem management and communication among data architects, managers, informaticists and analysts.</li><li>
Perform development activities such as source to target mapping validations, identify, document and execute unit test cases/scripts, peer and lead code reviews per code review checklist and document test and review results.</li><li>
Provide ongoing proactive technical support for ETL and data warehouse system to ensure business continuity.</li><li>
Perform any other duties as required to ensure Health Plan operations and department business needs are successful.</li></ul>
Qualifications:
<p><b>
Education &amp; Requirements
</b></p><ul><li>Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling. Background in database systems along with a strong knowledge of SQL. Experience with Orchestration tools, Azure DevOps, and CI/CD. Intermediate experience with the following tools and technologies:<ul><li>
Azure Data Catalogue / Purview</li><li>
Azure Cloud</li><li>
Databricks</li><li>
Power BI Dataflows</li><li>
Power Query</li><li>
Azure Cosmos</li><li>
Azure Monitor</li><li>
PowerShell</li><li>
Python</li></ul></li><li>
Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired</li><li>
Bachelor's degree from an accredited institution required<ul><li>
Master&rsquo;s degree from an accredited institution preferred</li><li>
Azure Data Engineering Certification is preferred</li></ul></li></ul><p></p><p><b><br>
Key Qualifications</b></p><ul><li>
Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+</li><li>
Knowledge of applicable data privacy practices and laws</li><li>
Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic</li><li>
Good written and oral communication skills</li><li>
Strong technical documentation skills</li><li>
Good interpersonal skills</li><li>
Highly self-motivated and directed</li><li>
Keen attention to detail</li><li>
Proven analytical and problem-solving abilities</li><li>
Ability to effectively prioritize and execute tasks in a high-pressure environment</li></ul><p></p><p><b><br>
Start your journey towards a thriving future with IEHP and apply </b><b>TODAY</b><b>!</b></p>
Work Model Location:
<p>
This position is on a hybrid work schedule. (Monday &amp; Friday - remote, Tuesday &ndash; Thursday onsite in Rancho Cucamonga, CA.)</p>
Pay Range: USD $104,041.60 - USD $137,841.60 /Yr.</div>

University of Texas at Austin

<div><div>Job Posting Title:</div>
Data Engineer II<div>
-</div><div>
Hiring Department:</div>
Dell Medical School<div>
-</div><div>
Position Open To:</div>
All Applicants<div>
-</div><div>
Weekly Scheduled Hours:</div>
40<div>
-</div><div>
FLSA Status:</div>
Exempt<div>
-</div><div>
Earliest Start Date:</div>
Immediately<div>
-</div><div>
Position Duration:</div>
Expected to Continue<div>
-</div><div>
Location:</div>
AUSTIN, TX<div>
-</div><div>
Job Details:</div><div>
General Notes</div><div>
Data Engineer II is an experienced data professional responsible for designing, building, and maintaining robust data pipelines and infrastructure that enable the collection, storage, and processing of large datasets. This role expands upon the Data Engineer I position by handling more complex data projects and working with greater independence. A Data Engineer II ensures data is accurate, secure, and compliant with data governance standards. A Data Engineer II collaborates with cross-functional teams (e.g., business stakeholders, IT, and subject-matter experts) to deliver solutions that meet business and research needs.</div><div></div><div>
Responsibilities</div><ul><li><div>
Maintains and optimizes data pipeline architecture by designing, building, and managing ETL processes that extract, transform, and load data from diverse sources. Assembles large, complex data sets to meet both functional and non-functional requirements, and develops scalable architectures for structured and unstructured data.</div></li><li><div>
Integrates and consolidates data from multiple systems&mdash;such as disparate databases and electronic health records&mdash;into unified repositories like data warehouses or data lakes. Develops and enhances the underlying data infrastructure using SQL and cloud technologies to ensure scalability and reliability.</div></li><li><div>
Creates and supports analytics tools that empower analysts and data scientists to access and analyze data efficiently. Builds custom queries, scripts, and dashboards that enable insight generation and data product optimization. Collaborates with analytics experts to organize, query, and visualize data for reporting and research.</div></li><li><div>
Identifies and implements process improvements to enhance data operations. Automates manual workflows, optimize data delivery pipelines, and redesign system architecture to support scalability and performance. Continuously evaluates workflows and technologies to recommend improvements that accommodate growing data complexity.</div></li><li><div>
Ensures data governance and security by validating data for accuracy and consistency, and maintaining secure, compliant data environments. Follows best practices and regulatory standards (e.g., HIPAA) to protect sensitive information and uphold data integrity.</div></li><li><div>
Collaborates with stakeholders across departments&mdash;including executives, product managers, researchers, and designers&mdash;to address data infrastructure needs and resolve technical issues. Translates non-technical requirements into effective data solutions and advises on best practices for data architecture.</div></li><li><div>
Manages and executes data projects from planning through deployment. Applies light project management techniques to coordinate tasks, communicates with team members, and ensures timely delivery. Exercises independent judgment to overcome obstacles and align project outcomes with organizational goals.</div></li></ul><div></div><div>
MARGINAL OR PERIODIC FUNCTIONS:</div><ul><li><div>
Adheres to internal controls and reporting structure.</div></li><li><div>
Performs related duties as required.</div></li></ul><div></div><div>
KNOWLEDGE/SKILLS/ABILITIES</div><ul><li><div>
Systems Knowledge: Broad understanding of system-level concepts in computing. This includes knowledge of programming and scripting, operating systems, database query languages (SQL) and data mining techniques, as well as familiarity with IT infrastructure (servers, networking, cloud services). Such knowledge enables the Data Engineer II to troubleshoot and optimize across the technology stack.</div></li><li><div>
Big Data Processing: Proficiency with big data frameworks such as Apache Spark for distributed data processing and large-scale computations. Experience optimizing Spark jobs for performance is often required.</div></li><li><div>
Workflow Orchestration: Experience with workflow orchestration tools like Apache Airflow (or similar platforms) to schedule and manage complex data pipelines. Ability to design reliable job workflows and handle dependencies between tasks.</div></li><li><div>
Programming &amp; Databases: Strong programming skills in Python (especially using PySpark) and solid knowledge of SQL for querying and manipulating data. Familiarity with working in both relational databases (SQL) and NoSQL databases, with the ability to design and optimize database schemas and queries for each.</div></li><li><div>
Version Control: Experience using Git or other version control systems for managing codebases and collaborating on data projects. Follows best practices in code versioning and documentation to maintain a clear history of changes.</div></li><li><div>
Cloud Data Pipelines: Hands-on experience building data pipelines on cloud or modern data platforms. This could include using services in Microsoft Fabric (e.g., Azure Data Factory within Fabric) or similar ETL tools to move and transform data at scale. Knowledge of cloud ecosystems and services for data processing (such as AWS Glue or Azure Synapse pipelines) is beneficial.</div></li><li><div>
Data Warehousing: Familiarity with cloud-based data warehousing and analytics services such as Google BigQuery, Microsoft Fabric (Synapse Analytics), or AWS Redshift for storing and querying large datasets. Ability to optimize data models and SQL queries on these platforms to ensure fast performance and cost-efficiency.</div></li><li><div>
Domain Expertise: (If applicable) Experience working with healthcare or clinical data is highly valuable. For example, familiarity with electronic health record (EHR) systems and clinical registries, experience using tools like REDCap for data capture, or involvement in healthcare analytics projects. Ability to create quality/outcome reports and develop data visualizations for non-technical stakeholders is a plus.</div></li></ul><div><br>
Technical Learning</div><ul><li><div>
Quickly grasps technical concepts and applies them effectively.</div></li><li><div>
Learns new tools and platforms independently.</div></li><li><div>
Applies new techniques to improve data pipelines.</div></li><li><div>
Shares technical knowledge with peers.</div></li></ul><div></div><div>
Problem Solving</div><ul><li><div>
Uses logic and data to solve complex problems effectively.</div></li><li><div>
Diagnoses root causes of data issues.</div></li><li><div>
Designs scalable solutions.</div></li><li><div>
Anticipates and mitigates risks.</div></li></ul><div></div><div>
Action Oriented</div><ul><li><div>
Takes initiative and acts with urgency</div></li><li><div>
Proactively addresses data quality issues</div></li><li><div>
Suggests improvements without being prompted</div></li><li><div>
Delivers results under tight deadlines</div></li></ul><div></div><div>
Collaboration</div><ul><li><div>
Works effectively with others to achieve shared goals.</div></li><li><div>
Communicates clearly with non-technical stakeholders.</div></li><li><div>
Participates in cross-functional teams.</div></li><li><div>
Resolves conflicts constructively.</div></li></ul><div></div><div>
Planning and Organizing</div><ul><li><div>
Prioritizes tasks and manages time effectively.</div></li><li><div>
Breaks down complex projects into manageable steps.</div></li><li><div>
Tracks progress and adjusts plans as needed.</div></li><li><div>
Meets deadlines consistently.</div></li></ul><div></div><div>
Required Qualifications</div><div>
Requires a Bachelor's Degree in Computer Science, Information Systems, Data Science, or a related field (required). An equivalent combination of relevant education and experience may be considered in lieu of a four-year degree with at least 4 year(s) of experience in data engineering or a closely related field. This experience should include designing data architectures, developing data pipelines, and implementing data quality/performance monitoring. Proven track record in database development using Python and SQL (including experience with NoSQL databases) is expected.</div><div></div><div>
Preferred Qualifications</div><div>
Master's Degree in Computer Science, Data Engineering, Informatics, or a related field with at least 7 year(s) of experience in healthcare data engineering or enterprise data systems.</div><div></div><div>
LICENSES, REGISTRATIONS OR CERTIFICATIONS</div><div>
REQUIRED:</div><ul><li><div>
N/A</div></li></ul><div></div><div>
PREFERRED:</div><ul><li><div>
Microsoft Certified: Azure Data Engineer Associate</div></li><li><div>
Google Cloud Professional Data Engineer</div></li><li><div>
AWS Certified Data Analytics &ndash; Specialty</div></li><li><div>
Analytical Skills: Knowledge of statistics and experience with statistical or data analysis software or Python libraries for data science. This background helps in understanding data trends and supporting data scientists or analysts in the organization with more advanced analytics needs.</div></li></ul><div></div><div>
Salary Range</div><div>
$89,946 + depending on qualifications</div><div></div><div>
Working Conditions</div><ul><li><div>
Works in a typical office setting with standard equipment (computer, phone, etc.)</div></li><li><div>
May work remotely or in a hybrid environment depending on organizational policy.</div></li><li><div>
Prolonged periods of sitting and working at a computer.</div></li><li><div>
May require occasional travel between healthcare system locations.</div></li><li><div>
For healthcare workers: May be required to enter clinical environments for data integration or support.</div></li></ul><div></div><div>
Required Materials</div><ul><li><div>
Resume/CV</div></li><li><div>
3 work references with their contact information; at least one reference should be from a supervisor</div></li><li><div>
Letter of interest</div></li></ul><div></div><div>
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.</div><div></div><div>
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.</div><div>
-</div><div>
Employment Eligibility:</div>
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.<div>
-</div><div>
Retirement Plan Eligibility:</div>
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.<div>
-</div><div>
Background Checks:</div><div>
A criminal history background check will be required for finalist(s) under consideration for this position.</div><div>
-</div><div>
Equal Opportunity Employer:</div><div>
The University of Texas at Austin, as an <div>equal opportunity/affirmative action employer</div>, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.</div><div>
-</div><div>
Pay Transparency:</div><div>
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information.</div><div>
-</div><div>
Employment Eligibility Verification:</div><div>
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original <div>documents</div> to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.</div><div>
-</div><div>
E-Verify:</div><div>
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university&rsquo;s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:</div><ul><li><div>
E-Verify Poster (English and Spanish)</div> [PDF]</li><li><div>
Right to Work Poster (English)</div> [PDF]</li><li><div>
Right to Work Poster (Spanish)</div> [PDF]</li></ul><div>
-</div><div>
Compliance:</div><div>
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in <div>HOP-3031</div>.</div><div></div><div>
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may <div>access the most recent report here</div> or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.</div></div>

Summit Utilities, Inc.

<div>
 <p>
  <strong>
   Join our Growing Team and see why Summit Utilities, Inc was named as one of the Fastest Growing Denver Area Private Companies 2019 and 2020; Best Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri 2023. Summit was also recently named one of Forbes 2023 America&rsquo;s Best Small Employers.
  </strong>
 </p>
 <br/>
 <p>
  Summit is a growing natural gas utility providing safe, reliable, and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.
 </p>
 <br/>
 <p>
  <strong>
   We have an exciting hybrid opportunity for a Data Engineer II based in Fort Smith, Arkansas.
  </strong>
 </p>
 <br/>
 <p>
  <strong>
   POSITION SUMMARY
  </strong>
 </p>
 <br/>
 <p>
  Summit Utilities is seeking a
  <strong>
   Data Engineer II
  </strong>
  to design, develop, and optimize enterprise-grade data pipelines and integration workflows across hybrid environments. Engineers at this level are expected to work independently on complex data solutions that involve structured and semi-structured data across multiple systems. This role is essential to delivering scalable, cost-efficient, and reliable data infrastructure that supports reporting, analytics, and operational needs across the business. Ideal candidates bring a preferred 3&ndash;8 years of experience, strong technical problem-solving skills, and a deep understanding of data orchestration, transformation, and integration within modern data environments.
 </p>
 <br/>
 <p>
  <strong>
   PRIMARY DUTIES AND RESPONSIBILITIES
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Design and implement end-to-end data pipelines that extract, transform, and load data across a variety of enterprise systems.
  </li>
  <br/>
  <li>
   Optimize existing pipelines for performance, cost efficiency (CU usage), and reliability within cloud environments.
  </li>
  <br/>
  <li>
   Develop and maintain scalable transformation logic for structured and semi-structured data (e.g., CSV, JSON, XML)
  </li>
  <br/>
  <li>
   Implement error handling, alerting, and retry mechanisms in pipelines to ensure system robustness and uptime.
  </li>
  <br/>
  <li>
   Collaborate with Data Analysts and SAP Analysts to translate functional requirements into technical designs and extraction logic.
  </li>
  <br/>
  <li>
   Support integration with third-party systems via APIs, FTP/SFTP, or service connectors.
  </li>
  <br/>
  <li>
   Contribute to source control and CI/CD workflows.&nbsp;
  </li>
  <br/>
  <li>
   Perform data quality checks, build reconciliation logic, and ensure pipeline health through automated logging and monitoring.
  </li>
  <br/>
  <li>
   Participate in data platform design discussions, providing input on storage models, partitioning strategies, and pipeline orchestration.
  </li>
  <br/>
  <li>
   Participate in team standups, sprint planning, and code reviews to contribute to project delivery.
  </li>
  <br/>
  <li>
   Document pipeline architecture, business logic, and metadata dependencies to support maintainability and cross-team understanding.
  </li>
  <br/>
  <li>
   Troubleshoot complex data pipeline issues and provide advanced support for system failures and data integrity concerns.
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   EDUCATION AND WORK EXPERIENCE
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Bachelor&rsquo;s degree in computer science, Information Systems, Engineering, or a related field preferred; equivalent combination of education and relevant experience will be considered.
  </li>
  <br/>
  <li>
   3&ndash;8 years of experience in data engineering, software development, or ETL/integration roles preferred
  </li>
  <br/>
  <li>
   Proven experience designing and maintaining pipelines using cloud based equivalent tools.
  </li>
  <br/>
  <li>
   Hands-on experience developing with scripts for data movement, transformation, and automation.
  </li>
  <br/>
  <li>
   Strong experience working with relational databases, including query optimization and scripting.
  </li>
  <br/>
  <li>
   Demonstrated experience working in a cloud environment and integrating data from multiple enterprise systems.&nbsp;
  </li>
  <br/>
  <li>
   Familiarity with source control practices and CI/CD workflows&nbsp;
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   &nbsp;
  </strong>
  <strong>
   KNOWLEDGE, SKILLS, ABILITIES
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Strong proficiency with cloud services
  </li>
  <br/>
  <li>
   Skilled in writing and maintaining custom data processing scripts.
  </li>
  <br/>
  <li>
   Deep understanding of SQL, including complex joins, CTEs, performance tuning, and stored procedure development.
  </li>
  <br/>
  <li>
   Familiarity with SAP data structures and integrating SAP data into enterprise pipelines.
  </li>
  <br/>
  <li>
   Experience designing resilient data workflows with built-in validation, retries, and alerting.
  </li>
  <br/>
  <li>
   Knowledge cloud architecture, and data transformation/staging strategies
  </li>
  <br/>
  <li>
   Solid grasp of API integrations, flat file ingestion (CSV, JSON, XML), and secure data movement via FTP/SFTP
  </li>
  <br/>
  <li>
   Ability to work independently and lead portions of project development from planning through deployment.
  </li>
  <br/>
  <li>
   Strong documentation habits and ability to communicate technical logic to teammates and stakeholders.
  </li>
  <br/>
  <li>
   Proficiency with source control tools and collaborative development practices
  </li>
  <br/>
  <li>
   Analytical mindset with a focus on system reliability, scalability, and maintainability
  </li>
  <br/>
  <li>
   Friendly, solution-oriented team player aligned with Summit&rsquo;s PEAKS values.
   <strong>
    &nbsp;
   </strong>
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.
 </p>
 <br/>
 <p>
  Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home.&nbsp;
 </p>
 <br/>
 <p>
  Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.
 </p>
</div>


<div><p><b>Join our Growing Team and see why Summit Utilities, Inc was named as one of the Fastest Growing Denver Area Private Companies 2019 and 2020; Best Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri 2023. Summit was also recently named one of Forbes 2023 America&rsquo;s Best Small Employers.</b></p><p>
Summit is a growing natural gas utility providing safe, reliable, and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.</p><p><b>
We have an exciting hybrid opportunity for a Data Engineer II based in Fort Smith, Arkansas.</b></p><p><b>
POSITION SUMMARY</b></p><p>
Summit Utilities is seeking a <b>Data Engineer II</b> to design, develop, and optimize enterprise-grade data pipelines and integration workflows across hybrid environments. Engineers at this level are expected to work independently on complex data solutions that involve structured and semi-structured data across multiple systems. This role is essential to delivering scalable, cost-efficient, and reliable data infrastructure that supports reporting, analytics, and operational needs across the business. Ideal candidates bring a preferred 3&ndash;8 years of experience, strong technical problem-solving skills, and a deep understanding of data orchestration, transformation, and integration within modern data environments.</p><p><b>
PRIMARY DUTIES AND RESPONSIBILITIES</b></p><ul><li>
Design and implement end-to-end data pipelines that extract, transform, and load data across a variety of enterprise systems.</li><li>
Optimize existing pipelines for performance, cost efficiency (CU usage), and reliability within cloud environments.</li><li>
Develop and maintain scalable transformation logic for structured and semi-structured data (e.g., CSV, JSON, XML)</li><li>
Implement error handling, alerting, and retry mechanisms in pipelines to ensure system robustness and uptime.</li><li>
Collaborate with Data Analysts and SAP Analysts to translate functional requirements into technical designs and extraction logic.</li><li>
Support integration with third-party systems via APIs, FTP/SFTP, or service connectors.</li><li>
Contribute to source control and CI/CD workflows.</li><li>
Perform data quality checks, build reconciliation logic, and ensure pipeline health through automated logging and monitoring.</li><li>
Participate in data platform design discussions, providing input on storage models, partitioning strategies, and pipeline orchestration.</li><li>
Participate in team standups, sprint planning, and code reviews to contribute to project delivery.</li><li>
Document pipeline architecture, business logic, and metadata dependencies to support maintainability and cross-team understanding.</li><li>
Troubleshoot complex data pipeline issues and provide advanced support for system failures and data integrity concerns.</li></ul><p><b>
EDUCATION AND WORK EXPERIENCE</b></p><div><ul><li>
Bachelor&rsquo;s degree in computer science, Information Systems, Engineering, or a related field preferred; equivalent combination of education and relevant experience will be considered.</li><li>
3&ndash;8 years of experience in data engineering, software development, or ETL/integration roles preferred</li><li>
Proven experience designing and maintaining pipelines using cloud based equivalent tools.</li><li>
Hands-on experience developing with scripts for data movement, transformation, and automation.</li><li>
Strong experience working with relational databases, including query optimization and scripting.</li><li>
Demonstrated experience working in a cloud environment and integrating data from multiple enterprise systems.</li><li>
Familiarity with source control practices and CI/CD workflows</li></ul></div><p><b>
 </b><b>KNOWLEDGE, SKILLS, ABILITIES</b></p><ul><li>
Strong proficiency with cloud services</li><li>
Skilled in writing and maintaining custom data processing scripts.</li><li>
Deep understanding of SQL, including complex joins, CTEs, performance tuning, and stored procedure development.</li><li>
Familiarity with SAP data structures and integrating SAP data into enterprise pipelines.</li><li>
Experience designing resilient data workflows with built-in validation, retries, and alerting.</li><li>
Knowledge cloud architecture, and data transformation/staging strategies</li><li>
Solid grasp of API integrations, flat file ingestion (CSV, JSON, XML), and secure data movement via FTP/SFTP</li><li>
Ability to work independently and lead portions of project development from planning through deployment.</li><li>
Strong documentation habits and ability to communicate technical logic to teammates and stakeholders.</li><li>
Proficiency with source control tools and collaborative development practices</li><li>
Analytical mindset with a focus on system reliability, scalability, and maintainability</li><li>
Friendly, solution-oriented team player aligned with Summit&rsquo;s PEAKS values.</li></ul><p>
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.</p><p>
Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home.</p><p><i>
Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.</i></p></div>

Kalderos

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people.
 <br/>
 <br/>
 That success is driven by Kalderos' greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.
 <br/>
 <br/>
 That's where you come in! We are looking for a collaborative
 <strong>
  Data Engineer II
 </strong>
 . You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes.
 <br/>
 <br/>
 <strong>
  <em>
   This is a full-time, hybrid role, which can be based in Chicago, IL or Boston, MA. Relocation assistance will not be provided.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   Expected Salary Range: $130,000-$145,000 base + bonus
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement data models in partnership with product, analytics, and engineering teams so they are scalable, well-documented, and aligned to business needs.
  </li>
  <li>
   Collaborate with other Data Engineers to solve problems that directly impact enterprise customers
  </li>
  <li>
   Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake
  </li>
  <li>
   Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs run consistently and are well-monitored
  </li>
  <li>
   Build tools that enable other data engineers to work more efficiently
  </li>
  <li>
   Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed
  </li>
  <li>
   Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in computer science or similar field, or equivalent experience
  </li>
  <li>
   2-4+ years of work experience as a Data Engineer in a professional full-time role
  </li>
  <li>
   Advanced knowledge of SQL and Python (along with data analysis libraries such as Pandas, NumPy, and others)
  </li>
  <li>
   Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with relational modeling)
  </li>
  <li>
   Ability to learn new technologies and work in various components across the full tech stack
  </li>
  <li>
   Experience with cloud native infrastructure (Azure preferred)
  </li>
  <li>
   Experience with Container Applications (Docker)
  </li>
  <li>
   Experience building ETL pipelines and other services
  </li>
  <li>
   Experience with GenAI Tools and Workflows
  </li>
  <li>
   Professional experience in application programming with an object-oriented language.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Set Yourself Apart
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with DBT and Snowflake
  </li>
  <li>
   Experience with event driven platforms
  </li>
  <li>
   Experience with infrastructure as code tools like Terraform
  </li>
  <li>
   Knowledge about the drug discount space and healthcare industry
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Highlighted Company Perks and Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical, Dental, and Vision benefits
  </li>
  <li>
   401k with company match
  </li>
  <li>
   Flexible PTO with a 10 day minimum
  </li>
  <li>
   Mobile &amp; Wifi Reimbursement
  </li>
  <li>
   Commuter Reimbursement
  </li>
  <li>
   Donation matching for charitable contributions
  </li>
  <li>
   Travel reimbursement for healthcare services not available near your home
  </li>
  <li>
   New employee home office setup reimbursement
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What It's Like Working Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
  </li>
  <li>
   We empower each other and believe in ensuring all voices are heard.
  </li>
  <li>
   We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture.
  </li>
  <li>
   We're curious and go deep. Our slack channels are filled throughout the day with insightful articles, discussions around our industry, healthcare, and anything else that interests our team!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   To learn more:
  </em>
 </strong>
 <strong>
  <em>
   https://www.kalderos.com/company/culture
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   Kalderos participates in E-Verify.
  </em>
 </strong>
</div>


Redfin

<div>This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days.<p></p><p>
Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!</p><p></p><div><div><div><div><div><div><div><div><div><p>
As a Data Engineer II, you will share ownership of Redfin&rsquo;s Data Platform, owning business critical data integrations and operational excellence. You will work closely with Engineering and Analytics teams to create and support data pipelines and transformations. The ideal candidate is a data pipeline builder who enjoys optimizing existing systems as well as building new systems from the ground up. We are also looking for someone who is self-directed and comfortable supporting the data needs of multiple systems and teams.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Design, develop, and support complex data pipelines from a wide variety of data sources for Redfin</p></li><li><p>
Work with other Engineering teams to design and implement data exchange systems from structured and unstructured data sources</p></li><li><p>
Work with end users to gather requirements and design solutions that provide the the data they need in the format they need it in</p></li><li><p>
Ensure 100% accuracy in everything you do - make sure that all code and processes are fully tested and verified before running in production</p></li><li><p>
Identify and implement internal process improvements by automating manual processes and optimizing for accuracy, performance and coding best practices</p></li><li><p>
Support and maintain dev / test / prod environments</p></li><li><p>
Serve as part of weekly on call rotation</p></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><p>
3+ years experience with a modern programming language (Python, Java, etc). Python is preferred</p></li><li><p>
3+ years experience with complex SQL, data modeling and database technologies (Postgres, MySQL, Snowflake, etc). Snowflake is preferred</p></li><li><p>
Experience creating and maintaining complex data pipelines</p></li><li><p>
Experience with batch and streaming data pipelines</p></li><li><p>
Experience with both structured and unstructured data sets</p></li><li><p>
Ability to translate business needs into technical requirements</p></li><li><p>
Experience with Git / Jenkins / Airflow / Docker / Kubernetes / Spark is a plus</p></li><li><p>
Experience with API development is a plus</p></li><li><p>
Experience with cloud services (AWS / Azure / GCP) is a plus. AWS is preferred</p></li><li><p>
Ability to structure data to make it accessible, performant, and resilient to change</p></li><li><p>
Experience with message queuing and stream processing data is a plus</p></li><li><p>
Ability to handle ambiguity and function in a fast paced, constantly changing environment</p></li><li><p>
Ability to communicate well with both technical and non technical users</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>
Illinois, Maryland, Minnesota, Massachusetts, Colorado, New York City, New Jersey, Jersey City, California, D.C. and Washington candidates only:</p><p></p>
Base Pay Range: $108,300.00 - 162,200.00.<p></p><p>
The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.</p><p></p>
#LI-Hybrid<p></p><p><b>
Redfin is an equal opportunity employer committed to an inclusive workforce.</b></p><p></p><p>
An inclusive culture is vital to Redfin's mission of making real estate better for people from all walks of life. We&rsquo;re proud that Redfin is a place where different points of view and backgrounds are encouraged and respected. We constantly strive to build a company that reflects the world around us, based on our conviction that pursuing and developing talent of all types is the right way for a business to thrive over the long haul.</p><p></p><p>
Redfin provides equal employment opportunities to all employees and applicants for employment and prohibit discrimination based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, and any other characteristic protected by applicable federal, state or local law. If you need accommodation in the application or recruitment process because of a disability or special need, please contact recruitingteam@redfin.com</p><p></p><p>
Redfin encourages individuals with criminal record histories to apply for employment and considers such individuals for employment consistent with the requirements of any applicable fair chance acts, including but not limited to the California, San Francisco and Los Angeles County Fair Chance Acts. Philadelphia applicants can access a copy of Philadelphia Fair Criminal Records Screening Standards ordinance poster here.</p><p></p><p>
Redfin accepts applications on an ongoing basis.</p></div><p></p>

Search 10000+ Data engineer ii jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 data engineer ii jobs Near Me

Data Engineer II

Data Engineer II

Data Engineer II

Data Engineer II

Data Engineer II

Data Engineer II

Data Engineer II